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BBA in Decision Science at CHRIST (Deemed to be University)
Bengaluru, Karnataka
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About the Specialization
What is Decision Science at CHRIST (Deemed to be University) Bengaluru?
This BBA Decision Science program at CHRIST (Deemed to be University), Bengaluru focuses on equipping students with analytical and quantitative skills to make data-driven business decisions. It integrates management principles with statistical analysis, predictive modeling, and optimization techniques, preparing graduates for the evolving Indian business landscape where data insights are crucial for competitive advantage across sectors like e-commerce, finance, and consulting.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into analytical roles, business intelligence, or data consulting. It also suits individuals with strong numerical aptitude and a keen interest in problem-solving through data. Students with a background in commerce, science, or humanities (with mathematics) aspiring to build careers in analytics-intensive domains within Indian and global corporations will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Business Analyst, Data Analyst, Market Research Analyst, Financial Analyst, or Operations Analyst. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning significantly more. The program also aligns with certifications in business analytics tools like Tableau, Power BI, and Python, enhancing growth trajectories in Indian companies.
Student Success Practices
Foundation Stage
Develop Strong Foundational Programming & Statistics Skills- (Semester 1-2)
Actively engage with Python for Decision Science and Business Statistics modules. Practice coding challenges on platforms like HackerRank or LeetCode for Python and solve statistical problems using R or Excel. Focus on understanding concepts like data types, control structures, probability, and hypothesis testing thoroughly, as they are the building blocks for advanced analytics.
Tools & Resources
Python, Jupyter Notebook, HackerRank, GeeksforGeeks, R, Excel, Khan Academy
Career Connection
A solid grasp of programming and statistics is non-negotiable for any data-driven role, forming the base for data manipulation, analysis, and model building required by companies like Mu Sigma or Fractal Analytics.
Build Business Domain Acumen- (Semester 1-2)
Beyond core subjects, read business newspapers (Economic Times, Business Standard) and magazines (Forbes India, Business Today). Follow industry leaders on LinkedIn and understand current trends in sectors like finance, marketing, and operations. Participate in business quizzes and case study competitions to apply theoretical knowledge to practical scenarios, linking data to business problems.
Tools & Resources
Economic Times, Business Standard, LinkedIn, College Business Clubs
Career Connection
A strong business understanding allows analysts to interpret data in context, provide actionable insights, and communicate effectively with business stakeholders, crucial for roles in consulting and management.
Cultivate Effective Communication and Presentation- (Semester 1-2)
Actively participate in class discussions, group projects, and presentations. Join Toastmasters International or college debate clubs to refine public speaking. Practice summarizing complex analytical findings clearly and concisely, both verbally and in written reports. Seek feedback on presentation style and clarity from faculty and peers.
Tools & Resources
PowerPoint/Google Slides, Grammarly, Toastmasters International, College communication workshops
Career Connection
The ability to articulate data-driven insights to non-technical audiences is highly valued in any analytics role, aiding in influencing decisions and securing client projects.
Intermediate Stage
Master Data Management and Visualization Tools- (Semester 3-5)
Gain hands-on expertise in SQL for data extraction and manipulation. Dedicate time to master Business Intelligence tools like Tableau or Power BI by working on diverse datasets and creating compelling dashboards. Participate in workshops or online courses to get certified in these tools, which are industry standards for data visualization and reporting.
Tools & Resources
SQL (MySQL, PostgreSQL), Tableau Public, Power BI Desktop, Udemy, Coursera
Career Connection
Proficiency in these tools directly translates to roles in Business Intelligence, Data Engineering, and Dashboard Development, demanded by companies for reporting and monitoring business performance.
Engage in Real-world Projects and Kaggle Competitions- (Semester 3-5)
Actively seek out opportunities for mini-projects within coursework or extracurricular activities, applying predictive modeling and optimization techniques to actual business problems. Participate in Kaggle competitions or local hackathons to work on challenging datasets, learn from peers, and build a portfolio of practical analytical solutions.
Tools & Resources
Kaggle, GitHub, University project labs, Industry collaboration projects
Career Connection
Building a portfolio of projects demonstrates practical skills to recruiters, significantly improving internship and placement prospects in data science and analytics firms.
Network with Industry Professionals and Alumni- (Semester 3-5)
Attend industry seminars, guest lectures, and alumni meets organized by the university or professional bodies. Use LinkedIn to connect with professionals in the Decision Science field and gain insights into career paths and emerging technologies. Participate in informational interviews to understand job roles and required skill sets.
Tools & Resources
LinkedIn, University career services, Industry conferences (e.g., Data Science Congress India)
Career Connection
Networking opens doors to mentorship, internship opportunities, and valuable career advice, often leading to direct referrals for job openings in the Indian analytics ecosystem.
Advanced Stage
Specialize through Advanced Electives and Certifications- (Semester 6)
Choose specialization electives that align with your career interests (e.g., AI in Business, Risk Analytics). Pursue advanced certifications in areas like Machine Learning (e.g., Google''''s TensorFlow Developer Certificate, IBM Data Science Professional Certificate) or specific industry tools to deepen expertise and stand out in the job market.
Tools & Resources
Coursera, edX, NPTEL, Industry certification bodies
Career Connection
Deep specialization and certifications provide a competitive edge for advanced roles in niche areas like AI/ML engineering, risk modeling, or specialized analytics consulting within Indian and global firms.
Undertake a Capstone Project/Dissertation- (Semester 6)
Dedicate significant effort to the major project or dissertation, applying all learned concepts to a comprehensive problem. Aim to solve a real-world business challenge, either independently or in collaboration with an industry partner. Document the entire process meticulously and prepare for a strong final presentation and viva voce.
Tools & Resources
Python/R, Cloud platforms (AWS, Azure, GCP), Project management tools, Academic research databases
Career Connection
A well-executed capstone project showcases your ability to conduct independent research, apply advanced analytics, and deliver tangible business value, often serving as a primary talking point in placement interviews.
Focus on Placement Preparation and Interview Skills- (Semester 6)
Actively participate in campus placement drives. Prepare a compelling resume and LinkedIn profile highlighting analytical skills and projects. Practice technical interviews, coding rounds, and case study discussions. Work on soft skills like problem-solving, critical thinking, and communication, which are vital for securing roles in top Indian companies and MNCs.
Tools & Resources
Resume builders, LinkedIn, Mock interview platforms, University career services, Aptitude test preparation sites
Career Connection
Thorough preparation directly impacts success in securing desired placements in analytics, consulting, or technology firms, leading to a strong career launch in India''''s competitive market.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 examination (Karnataka PUC / ISC / CBSE / NIOS / Other State Boards) with 50% marks in aggregate. (From official admissions criteria for BBA programs)
Duration: 3 years / 6 semesters
Credits: 132 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBM131A/BBM131B | Language I | Core | 3 | Communication Skills, Grammar and Usage, Reading Comprehension, Writing Skills, Presentation Techniques |
| BBADS131 | Micro Economics for Business Decisions | Core | 4 | Introduction to Economics, Consumer Behavior and Demand, Production and Cost Analysis, Market Structures, Factor Pricing |
| BBADS132 | Financial Accounting | Core | 4 | Accounting Principles, Journal and Ledger, Trial Balance, Financial Statements, Depreciation Accounting |
| BBADS133 | Business Mathematics | Core | 4 | Functions and Equations, Matrices and Determinants, Differential Calculus, Integral Calculus, Financial Mathematics |
| BBADS134 | Principles of Management | Core | 4 | Management Concepts, Planning and Decision Making, Organizing and Staffing, Directing and Leading, Controlling and Coordination |
| BBADS135 | Basics of Data Management | Core | 2 | Data Concepts and Types, Database Systems, SQL Fundamentals, Data Organization and Storage, Data Retrieval and Manipulation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBM231A/BBM231B | Language II | Core | 3 | Advanced Communication, Report Writing, Public Speaking, Group Discussion, Interpersonal Skills |
| BBADS231 | Macro Economics | Core | 4 | National Income Accounting, Money and Banking, Inflation and Unemployment, Fiscal and Monetary Policy, International Trade |
| BBADS232 | Corporate Accounting | Core | 4 | Company Accounts, Issue of Shares and Debentures, Final Accounts of Companies, Cash Flow Statement, Ratio Analysis |
| BBADS233 | Business Statistics | Core | 4 | Data Collection and Presentation, Measures of Central Tendency, Probability Theory, Hypothesis Testing, Correlation and Regression |
| BBADS234 | Organizational Behaviour | Core | 4 | Individual Behavior, Group Dynamics, Leadership Theories, Motivation, Organizational Culture |
| BBADS235 | Programming for Decision Science | Core | 2 | Python Fundamentals, Data Structures in Python, Control Flow, Functions and Modules, Introduction to Data Libraries |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBADS331 | Marketing Management | Core | 4 | Marketing Mix, Consumer Behavior, Market Segmentation, Product Life Cycle, Branding and Packaging |
| BBADS332 | Financial Management | Core | 4 | Capital Budgeting, Working Capital Management, Cost of Capital, Dividend Policy, Financial Markets |
| BBADS333 | Human Resource Management | Core | 4 | HR Planning, Recruitment and Selection, Training and Development, Performance Management, Compensation Management |
| BBADS341 | Introduction to Decision Science | Specialization Core | 4 | Decision Making Process, Decision Trees, Utility Theory, Game Theory, Simulation Basics |
| BBADS342 | Data Warehousing and Data Mining | Specialization Core | 4 | Data Warehousing Concepts, ETL Process, Data Mining Techniques, Classification Algorithms, Clustering Methods |
| BBADS343 | Spreadsheet Modelling for Decision Making | Specialization Core | 2 | Excel Functions for Data Analysis, Data Analysis Tools in Excel, Scenario Manager, Solver Add-in, Data Visualization in Excel |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBADS431 | Business Research Methods | Core | 4 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing |
| BBADS432 | Operations Management | Core | 4 | Production Planning, Inventory Management, Quality Management, Supply Chain Management, Project Management |
| BBADS433 | Business Law | Core | 4 | Indian Contract Act, Sale of Goods Act, Consumer Protection Act, Intellectual Property Rights, Company Law |
| BBADS441 | Predictive Analytics | Specialization Core | 4 | Regression Analysis, Time Series Forecasting, Logistic Regression, Classification Techniques, Model Evaluation Metrics |
| BBADS442 | Optimization Techniques | Specialization Core | 4 | Linear Programming, Integer Programming, Network Models, Transportation Problem, Queuing Theory |
| BBADS443 | Business Intelligence Tools | Specialization Core | 2 | BI Concepts and Architecture, Tableau/Power BI Basics, Data Connections and Preparation, Dashboard Creation, Interactive Visualizations |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBADS531 | Entrepreneurship and Innovation | Core | 4 | Entrepreneurial Process, Business Plan Development, Startup Ecosystem, Sources of Funding, Innovation Strategies |
| BBADS532 | International Business | Core | 4 | Globalization and Trade Theories, International Marketing, Foreign Exchange Markets, Global Business Strategies, Cross-Cultural Management |
| BBADS541 | Machine Learning for Business | Specialization Core | 4 | Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning Basics, Ethical AI Considerations |
| BBADS551A | Big Data Analytics | Specialization Elective | 4 | Big Data Ecosystem, Hadoop Framework, Spark Programming, NoSQL Databases, Data Lake Concepts |
| BBADS552A | Data Visualization and Storytelling | Specialization Elective | 4 | Principles of Data Visualization, Effective Chart Types, Storytelling with Data, Interactive Dashboards, Tools like D3.js/Plotly |
| BBADS581 | Internship / Project | Project | 4 | Problem Definition, Data Collection and Cleaning, Methodology Application, Analysis and Interpretation, Report Writing and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBADS631 | Strategic Management | Core | 4 | Strategic Planning Process, SWOT Analysis, Porter''''s Five Forces, Competitive Advantage, Strategy Implementation |
| BBADS632 | Business Ethics and Corporate Governance | Core | 4 | Ethical Theories in Business, Corporate Social Responsibility, Governance Frameworks, Whistleblowing, Ethical Decision Making |
| BBADS641 | Advanced Decision Modeling | Specialization Core | 4 | Multi-criteria Decision Making, Advanced Simulation Modeling, Heuristic Optimization, Forecasting Models, Prescriptive Analytics |
| BBADS651A | AI in Business | Specialization Elective | 4 | AI Applications in Business, Natural Language Processing, Computer Vision Basics, Robotics Process Automation, Ethical Considerations of AI |
| BBADS682 | Major Project / Dissertation | Project | 6 | Literature Review, Research Design and Methodology, Data Collection and Analysis, Interpretation of Results, Conclusion and Recommendations |
